Gen AI Developer
Infosys · Bengaluru · onsite · Posted 27d ago
Undisclosed2–6 yrsfulltimeSourced from
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About this role
Job Description
Generative AI Expertise: Good understanding of various Generative AI techniques, including GANs, VAEs, and other relevant architectures. Proven experience in applying these techniques to real-world problems for tasks such as image and text generation. Conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, Function calling. Exposure to both API based and opens source LLMs based solution design.
Technical Proficiency: An overall understanding of below technologies is required :
Machine learning algorithms: Linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks
Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras
Cloud computing platforms: AWS, Azure, GCP
Natural language processing (NLP): Transformer models, attention mechanisms, word embeddings
Computer vision: Convolutional neural networks, recurrent neural networks, object detection
Robotics: Reinforcement learning, motion planning, control systems
Data ethics: Bias in machine learning, fairness in algorithms
Roles Responsibilities
Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
Develop scalable and modular Python applications for deploying generative AI solutions.
Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
Automate infrastructure provisioning and configuration using Terraform.
Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
Ensure production-grade scalability, reliability, and security of GenAI systems.
Monitor and optimize system performance using tools like AWS CloudWatch.
Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
Contribute to code reviews, documentation, and Python development best practices.
Technical Requirement
Strong Python proficiency with experience in FastAPI, asyncio, modular application design, and parallel processing.
Develop scalable and modular Python applications for deploying generative AI solutions.
Build and manage cloud infrastructure using AWS services (S3, Lambda, DynamoDB, ECS, EKS).
Automate infrastructure provisioning and configuration using Terraform.
Collaborate with data scientists, ML engineers, and product teams to integrate AI models into domain-specific applications.
Ensure production-grade scalability, reliability, and security of GenAI systems.
Monitor and optimize system performance using tools like AWS CloudWatch.
Stay updated with advancements in GenAI, cloud computing, MLOps, and DevOps.
Contribute to code reviews, documentation, and Python development best practices.
Educational Requirement
Bachelor of Engineering
Preferred Skills
Technology->AI-Data science->Databricks Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-Generative AI->Prompt Engineering
Service Line
Topaz COE unit
Roles Responsibilities
Technical Requirement
Educational Requirement
Bachelor of Engineering
Preferred Skills
Technology->AI-Data science->Databricks Machine Learning,Technology->AI-Generative AI->Generative AI for Data Analytics,Technology->AI-Generative AI->Prompt Engineering
Service Line
Topaz COE unit
Sourced from naukri
Skills
Application DesignCloud Computingai modelsAws ServicesComputer Visionamazon web servicesControl SystemsAi Development ToolsAnalyticsAWS CloudWatchasyncioCloud InfrastructureData Analyticsdata ethicscloudAlgorithmsMicrosoft AzureData ScienceArtificial Intelligence
About Infosys
Infosys
IT Services & Consulting
323.6k+
employees
1981
45 years old
Bengaluru/Bangalore, Karnataka
India
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